SU

subsection-writer

Modular writer for technical survey sections.

Install

mkdir -p .claude/skills/subsection-writer && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14818" && unzip -o skill.zip -d .claude/skills/subsection-writer && rm skill.zip

Installs to .claude/skills/subsection-writer

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Write survey prose into per-section files under `sections/` so each unit can be QA'd independently before merging. **Trigger**: subsection writer, per-section writing, split sections, sections/, 分小节写, 按章节拆分写作. **Use when**: `Approve C2` is recorded and writer packs exist (`outline/writer_context_packs.jsonl`); you want evidence-bounded drafting without a monolithic one-shot draft. **Skip if**: `DECISIONS.md` approval is missing, or `outline/evidence_drafts.jsonl` / `citations/ref.bib` is missing. **Network**: none. **Guardrail**: do not invent facts/citations; no TODO/ellipsis leakage; keep citations subsection- or chapter-scoped; H3 body files and chapter leads must not contain headings.
697 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Write survey prose into per-section files
  • Ensure compatibility with existing document pipelines
  • Adhere to strict citation and H3 header constraints
  • Bootstrap missing H3 files and refresh manifest
  • Adjust paragraph-role behavior or refactor writer policy

How it works

The skill writes or refines per-section survey prose into isolated files, maintaining compatibility with the existing pipeline contract and adhering to writing guidance and machine-readable contracts.

Inputs & outputs

You give it
Approved outline, writer context packs, and citations
You get back
Per-section survey prose files under `sections/` and an updated `sections_manifest.jsonl`

When to use subsection-writer

  • Draft a specific survey section
  • Refine survey prose independently
  • Write subsection content

About this skill

Subsection Writer (compatibility router)

Purpose: write or refine per-section survey prose under sections/ while keeping the current pipeline contract unchanged.

Compatibility mode:

  • output paths stay the same
  • scripts/run.py still handles approval checks, missing-file bootstrap, and sections/sections_manifest.jsonl
  • writing guidance now lives in references/ instead of being encoded primarily in the script

Load Order

Always read:

  • references/overview.md
  • references/paragraph_jobs.md
  • references/paragraph_job_archetypes.md when adjusting paragraph-role behavior or refactoring writer policy out of Python
  • references/bootstrap_assembly.md when reasoning about compatibility-mode bootstrap behavior

Read as needed:

  • references/opener_catalog.md when paragraph 1 sounds generic or narrated
  • references/contrast_moves.md when building A-vs-B comparison paragraphs
  • references/eval_anchor_patterns.md when making performance / robustness / benchmark claims
  • references/limitation_moves.md when adding caveats or local conclusions
  • references/examples_good.md and references/examples_bad.md for calibration only

Machine-readable contract:

  • assets/subsection_writer_context.schema.json
  • assets/bootstrap_paragraph_templates.json
  • assets/paragraph_job_templates.json

Inputs

Required:

  • DECISIONS.md (must include Approve C2)
  • outline/outline.yml
  • outline/writer_context_packs.jsonl (preferred)
  • citations/ref.bib

Optional but useful:

  • outline/subsection_briefs.jsonl
  • outline/evidence_drafts.jsonl
  • outline/evidence_bindings.jsonl
  • outline/anchor_sheet.jsonl
  • outline/chapter_briefs.jsonl

Outputs

Keep the current contract:

  • sections/S<sub_id>.md for H3 bodies
  • sections/sections_manifest.jsonl, refreshed across all section files already produced by the three writer Skills
  • sections/h3_bodies.refined.ok after a model or human has reviewed the generated H3 bodies and is submitting U100 for mandatory acceptance

front-matter-writer owns Abstract, Introduction, Related Work, Discussion, and Conclusion. chapter-lead-writer owns H2 lead blocks. This Skill reads those files while refreshing the shared manifest but does not claim their authorship.

Writer policy

The active rule is move coverage, not paragraph quota. A subsection should cover the necessary argument moves the pack supports; do not pad to a fixed count when the evidence does not justify it.

Opener / ending policy:

  • generate 2-4 opener candidates from the pack's actual tension, contrast, protocol, or limitation signals; keep the most content-bearing option instead of reusing one stock stem everywhere
  • let subsection endings emerge from evidence-bearing comparison / limitation material; do not append a fixed “safest synthesis / decision rule” closer just to make the paragraph feel finished
  • normalize internal axis labels into natural reader prose; slash-style brief handles should remain planning metadata, not leak unchanged into the paper

Script boundary

Use scripts/run.py as a helper only:

  • it may bootstrap missing H3 files and refresh the manifest
  • bootstrap prose is assembled deterministically from writer packs and the versioned template assets; it is inspectable fallback material, not a claim of model authorship or final prose quality
  • it must not be treated as the canonical source of prose shape or voice policy
  • it must not self-certify its bootstrap prose: the script never creates sections/h3_bodies.refined.ok
  • the marker is only U100's submission attestation; it is created before the downstream writer-selfloop, so it cannot mean that the self-loop already passed
  • mandatory acceptance independently compares H3 sentences with the Run-selected writer template assets and rejects literal residue above the Pipeline limit
  • writer-selfloop calls the shared strict section checker, which recomputes the H3 measure before the report can PASS
  • the mandatory pipeline-auditor measures the entire merged draft and writes a scorecard whose verdict and dimensions the Harness projects into the evaluation ledger
  • the current 10% limit is an initial policy target; a published current-contract replay measures 0/226 residue for one retained Artifact set, while clean from-scratch and cross-topic reproduction remain open
  • if the marker predates a writer input or the writer script, it is stale and the next run removes it before regenerating bootstrap prose

Quick Start

  • uv run python .codex/skills/subsection-writer/scripts/run.py --workspace <workspace>

Troubleshooting

  • If the pack is thin, stop and route upstream instead of padding prose.
  • If the subsection sounds narrated, reload references/opener_catalog.md and references/examples_bad.md.
  • If a claim lacks protocol context, reload references/eval_anchor_patterns.md before rewriting.

Execution notes

When running in compatibility mode, scripts/run.py currently consumes:

  • DECISIONS.md for Approve C2
  • outline/outline.yml to enumerate chapter / subsection files
  • outline/writer_context_packs.jsonl as the primary drafting input
  • citations/ref.bib for in-scope citations
  • outline/subsection_briefs.jsonl, outline/evidence_drafts.jsonl, outline/evidence_bindings.jsonl, outline/anchor_sheet.jsonl, and outline/chapter_briefs.jsonl as optional enrichment sources

Script

Quick Start

  • uv run python .codex/skills/subsection-writer/scripts/run.py --workspace <workspace>

All Options

  • --workspace <dir>
  • --unit-id <id>
  • --inputs <a;b;...>
  • --outputs <a;b;...>
  • --checkpoint <C*>

Examples

  • uv run python .codex/skills/subsection-writer/scripts/run.py --workspace <workspace>

Troubleshooting

  • If DECISIONS.md lacks Approve C2, stop and fix approval first.
  • If outline/writer_context_packs.jsonl is thin, reroute upstream instead of padding prose.
  • If citation scope looks wrong, re-check citations/ref.bib and the writer packs before editing output text.

When not to use it

  • `DECISIONS.md` approval is missing
  • `outline/evidence_drafts.jsonl` or `citations/ref.bib` is missing
  • The user wants a monolithic one-shot draft

Limitations

  • Does not allow TODO/ellipsis leakage
  • H3 body files and chapter leads must not contain headings

How it compares

This skill enables section-by-section drafting and refinement, allowing independent QA of each unit, rather than generating a single, monolithic draft.

Compared to similar skills

subsection-writer side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
subsection-writer (this skill)05moReviewAdvanced
scientific-writing942moReviewIntermediate
content-research-writer1510moNo flagsBeginner
research-grants67moReviewAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

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